Automated Testing Services for BFSI

Embrace the future of BFSI testing with confidence

5.0

37 reviews

Software testing company with 5-star reviews on Clutch, GoodFirms, and G2.

Years on the market

14 +

Software QA engineers

250 +

Locations

Projects tested from scratch

300 +

Integrations into an existing development & testing process

200 +

Clients over the globe

300 +

BFSI testing refers to testing activities specifically tailored for the Banking, Financial Services, and Insurance (BFSI) sector. It plays a crucial role in ensuring the integrity, security, and reliability of financial systems, promoting compliance, and ultimately fostering customer loyalty. BFSI testing is the key to a robust and trusted financial ecosystem.

What Features Need To Be Tested?

Simplicity of data analysis

Real-time data exchange between online and mobile

Instant notifications of all sorts

Streaming data

Wide functionality and integration

Personalisation

Authorization

Identification

Two-factor authentication

Security

Data protection

Payment Integration

Reporting and data visualization

Data encryption

Cyber attack protection

Biometric security

Third-party services integration

BFSI Software Applications We Test

Banking Applications

Online Banking Software

Mobile Banking Applications

Credit Card and Loan Processing Apps

E-Wallet

Corporate Banking Software

Finance Applications

Financial Accounting Software

Trading Applications

Capital Market Software

Wealth Management Applications

Payment Gateway Software

Customer Management Software

Micro-finance Applications

Insurance Applications

Underwriting Software

Claim Management Software

Quoting Software

Policy management Software

FinTech Applications

Digital Payment Systems

RegTech

InsureTech

Decentralized Finance Apps

Banking as a Service (BaaS)

Our Solutions For Your BFSI Testing Challenges

At DeviQA, we understand the unique QA challenges faced by BFSI entities and are here to efficiently address these challenges with our automation testing.

Complexity of Regulatory Compliance Testing

Challenge

Financial institutions face rigorous regulatory requirements. Ensuring that your systems adhere to the latest standards can be a daunting task, leading to delays and potential non-compliance issues.

Solution

Our advanced testing solutions incorporate automated regulatory compliance checks, reducing the time and effort required to ensure your systems adhere to the latest industry standards. This not only accelerates a testing process but also minimizes the risk of non-compliance.

Data Security Concerns

Challenge

The BFSI sector deals with sensitive information and financial transactions. Traditional testing methods cannot identify and mitigate all potential security vulnerabilities.

Solution

Leveraging state-of-the-art security testing tools, we identify and address vulnerabilities in your BFSI applications. Our comprehensive approach ensures that your systems are resilient against potential security threats.

Dynamic Market Demands

Challenge

The financial landscape is ever-evolving, with rapid technological advancements and changing customer expectations. Adapting to these dynamic market demands and ensuring that your software remains competitive requires agile and efficient testing processes.

Solution

Embrace the dynamic nature of the BFSI sector with our agile testing methodologies. Our testing processes align with your development cycles, ensuring that your software can adapt quickly to market changes without compromising on quality.

Integration Challenges

Challenge

BFSI systems often consist of multiple interconnected applications, and it’s crucial to ensure their seamless integration. Testing the compatibility and interoperability of diverse systems can be time-consuming, leading to delays in project timelines.

Solution

Our comprehensive testing services encompass end-to-end testing of all components within your BFSI ecosystem. We ensure seamless integration, identifying and resolving compatibility issues to deliver a robust and interconnected system.

Complexity of Regulatory Compliance Testing

Challenge

Financial institutions face rigorous regulatory requirements. Ensuring that your systems adhere to the latest standards can be a daunting task, leading to delays and potential non-compliance issues.

Solution

Data Security Concerns

Challenge

The BFSI sector deals with sensitive information and financial transactions. Traditional testing methods cannot identify and mitigate all potential security vulnerabilities.

Solution

Dynamic Market Demands

Challenge

Solution

Integration Challenges

Challenge

Solution

Complexity of Regulatory Compliance Testing

Challenge

Financial institutions face rigorous regulatory requirements. Ensuring that your systems adhere to the latest standards can be a daunting task, leading to delays and potential non-compliance issues.

Solution

Data Security Concerns

Challenge

The BFSI sector deals with sensitive information and financial transactions. Traditional testing methods cannot identify and mitigate all potential security vulnerabilities.

Solution

Dynamic Market Demands

Challenge

Solution

Integration Challenges

Challenge

Solution

Our Scope Of BFSI Testing Services

Our comprehensive testing solutions cover all needs of the BFSI domain, enabling you to confidently navigate the digital financial landscape. Here's a glimpse into the various testing types we expertly perform:

Functional Testing

We meticulously evaluate every function to ensure it performs as intended, allowing you to deliver software with excellent user experience.

Performance Testing

We assess the robustness, scalability, and responsiveness of your applications, ensuring they can handle high loads without a hitch.

Security Testing

We scan your software to identify vulnerabilities and safeguard it against potential hazards. Be confident that your BFSI systems are securely protected against all possible cyber threats.

Cloud Testing

We validate the seamless integration of your BFSI applications with cloud platforms, ensuring optimal functionality in a dynamic environment.

PCI Testing

We help you adhere to Payment Card Industry Data Security Standard (PCI DSS) requirements, securing financial transactions and building trust with your customers.

Business Process Testing

We identify bottlenecks, streamline workflows, and optimize your BFSI applications to enhance operational efficiency.

Partner with DeviQA: see the difference

Test coverage :

90%

Before

After

2.5 weeks to run regression testing

1 day to run regression testing

7 days to run smoke testing

1 day to run smoke testing

Outdated test cases

60% increase in the number of regression tests and relevant test cases

50% test coverage

90% test coverage

Supported localizations were not tested

27 localizations supported by QA engineers

No automation testing

>1500 automated test scenarios created

Read Story

Test coverage :

97%

Before

After

Existing workflow in Jira didn’t allow to understand how many bugs were left unfixed before the release and their priorities

Adjusted the Jira workflow, integrated TestRail with Jira to be able to see statisticls of the issues per release

The lack of test documentation

Developed necessary test artifacts that adhere to industry standards and are easily maintainable

No Automation test coverage

Added multithreading to run tests in parallel on 10 different threads, which reduced the time of the test run in 7 times

Read Story

Releases per day:

Before

After

1 huge release every 1-2 months

4-5 releases per day

1 large team with an unclear scope of work

~15 squads each with a straight and clear working plan

0 test cases

200+ e2e test cases for the whole app

1-2 months to release a new feature

2 weeks max to release a new feature

Convoluted and complex process of urgent bug-fix releases

Clear and fast way to release any fix

Read Story

Test coverage:

90%

Before

After

The architecture of the test suite could not be scaled and was difficult to maintain for a large number of tests

Designed the architecture of the test framework from scratch

Tests couldn’t be integrated with other testing and DevOps tools

Integrated auto tests with Jenkins, TestRail, and Jira to have a complete test ecosystem up and running

Tests took many hours to be completed

Built a test suite that ran auto-tests using 16 threads on multiple machines

Read Story

Test coverage:

80%

Before

After

Test suite was developed without maintenance and scalability support in mind

We conducted a comprehensive review of the existing test suite, identified areas of improvement and implemented best testing practices

The high number of issues or defects that were present in the software

The number of issues reduced to 25 % after automation was properly implemented

Slow test results and the lack of stable automated tests, leading to hindered deployment capabilities

SoftNAS experienced several benefits, including faster test results and the acquisition of stable automated tests, resulting in improved deployment capabilities

Read Story

Supported platforms:

Before

After

Developers were responsible for testing, and they executed it chaotically

>90% of the application was covered with test cases

Many bugs were overlooked during regular test runs

100% coverage was ensured for smoke and sanity testing

There was a lack of test documentation

>300 blocker issues were detected

There were many major and critical issues in a production environment

The number of customer support issues was reduced by more than 50%

Read Story

Parallel threads:

Before

After

Outdated BE autotests

All existing autotests are up-to-date

Only smoke tests were automated on BE

~2800 autotests added

No autotests on FE

>90% of test cases are automated

Manual smoke testing on FE

~99% of smoke tests are automated

Manual release testing

~95% decrease in post-release regression bugs, the implementation of test automation has proven to be highly effective

Read Story

Test coverage:

90%

Before

After

There was no formal QA process

An efficient and transparent QA process was set up from scratch

There was no test documentation

Well-structured test cases were created to cover the main scenarios

Automation scripts were useless because they didn’t check the required functionality

Following best practices, automation testing utilized independent tests, API-driven data creation, and the Page Object Pattern

Read Story

Released PWAs:

40+

Before

After

There were no QA engineers, and testing was executed by a product owner and developers

All QA/QC activities are performed by a seasoned QA engineer

All testing activities came down to ad-hoc testing and unit testing

Regression testing, pre-release testing, post-release smoke testing, and smoke testing are regularly executed

100% of the release content is tested using different approaches

150+ Postman test cases were created and integrated into the workflow

Read Story

Test coverage:

>80%

Before

After

4 days were needed to run regression testing

~2 hours were needed to run regression testing

Regression tests were executed on one device only

5 various devices with different operating systems, screen resolutions, and browsers were used to run regression testing

There were less than 200 automated tests

>1000 automated tests were developed

1 browser was used

4 browsers were supported

Read Story

Test coverage:

99%

Before

After

There was no formal QA process

Manual story testing and verification was built from scratch

There was a lack of QA resources to test all platforms and product areas

99% of the application was covered with test cases and the smoke and regression checklists

The test documentation was incomplete

A well-structured test plan enabling thorough validation was created

Testing was executed by developers

A fully autonomous QA process was set up where QA engineers were fully responsible for testing

Read Story

Regression testing run:

Before

After

2 weeks were needed to run regression testing

<1 week is needed to run regression testing

Regression testing was performed only on 2 web devices

>6 various devices with the latest OS versions are used to run regression testing

There were no auto-tests

>150 automated tests have been created

>100 bugs have been reported

3 browsers are supported

2x faster task handling

Read Story

Test coverage:

>85%

Before

After

Regression testing was not executed

3 hours were needed to complete regression testing

The product contained a lot of bugs and had a bad UX

>300 functional and non-functional bugs were reported

There were no automated tests

350+ automation scenarios were created

Test coverage was low

>85% of the product was covered with automated tests

There were no test cases

350+ test cases were created from scratch

Read Story

Bugs reported:

>1000

Before

After

The QA process was unstructured and inconsistent

A QA team participates in creating ticket scope for upcoming releases

The previous QA team was not efficient enough

All the required test documentation has been rewritten

The test documentation was incomplete and out of date

>6,000 test cases have been written for a regression test suite for client applications

There were a lot of issues reported by clients

The DeviQA engineers have reduced the number of bugs reported by clients/therapists

Read Story

Test coverage of the API:

100%

Before

After

A bug-tracking system was not used

280+ regression E2EE cases have been created, which let a team reduce the time of regression testing to 1.5 days

There were no regression checklists

~40% of tests have been automated, and this value is growing

There was poor documentation coverage

100% of the core flow is covered with documentation

The tests were not automated

5+ performance suites have been created

Read Story

Test coverage :

90%

Before

After

2.5 weeks to run regression testing

1 day to run regression testing

7 days to run smoke testing

1 day to run smoke testing

Outdated test cases

60% increase in the number of regression tests and relevant test cases

50% test coverage

90% test coverage

Supported localizations were not tested

27 localizations supported by QA engineers

No automation testing

>1500 automated test scenarios created

Read Story

Dev capacity:

+15%

Before

After

Didn’t have a formal QA process

Built smooth and well-working processes

Didn’t make automated testing

Test automation : smoke, API, UI on all supported browsers

Testing was carried out by the devs

Full coverage of the application by test cases

Read Story

Test coverage :

97%

Before

After

Existing workflow in Jira didn’t allow to understand how many bugs were left unfixed before the release and their priorities

Adjusted the Jira workflow, integrated TestRail with Jira to be able to see statisticls of the issues per release

The lack of test documentation

Developed necessary test artifacts that adhere to industry standards and are easily maintainable

No Automation test coverage

Added multithreading to run tests in parallel on 10 different threads, which reduced the time of the test run in 7 times

Read Story

Releases per day:

Before

After

1 huge release every 1-2 months

4-5 releases per day

1 large team with an unclear scope of work

~15 squads each with a straight and clear working plan

0 test cases

200+ e2e test cases for the whole app

1-2 months to release a new feature

2 weeks max to release a new feature

Convoluted and complex process of urgent bug-fix releases

Clear and fast way to release any fix

Read Story

Test coverage:

90%

Before

After

The architecture of the test suite could not be scaled and was difficult to maintain for a large number of tests

Designed the architecture of the test framework from scratch

Tests couldn’t be integrated with other testing and DevOps tools

Integrated auto tests with Jenkins, TestRail, and Jira to have a complete test ecosystem up and running

Tests took many hours to be completed

Built a test suite that ran auto-tests using 16 threads on multiple machines

Read Story

Test coverage:

80%

Before

After

Test suite was developed without maintenance and scalability support in mind

We conducted a comprehensive review of the existing test suite, identified areas of improvement and implemented best testing practices

The high number of issues or defects that were present in the software

The number of issues reduced to 25 % after automation was properly implemented

Slow test results and the lack of stable automated tests, leading to hindered deployment capabilities

SoftNAS experienced several benefits, including faster test results and the acquisition of stable automated tests, resulting in improved deployment capabilities

Read Story

Supported platforms:

Before

After

Developers were responsible for testing, and they executed it chaotically

>90% of the application was covered with test cases

Many bugs were overlooked during regular test runs

100% coverage was ensured for smoke and sanity testing

There was a lack of test documentation

>300 blocker issues were detected

There were many major and critical issues in a production environment

The number of customer support issues was reduced by more than 50%

Read Story

Parallel threads:

Before

After

Outdated BE autotests

All existing autotests are up-to-date

Only smoke tests were automated on BE

~2800 autotests added

No autotests on FE

>90% of test cases are automated

Manual smoke testing on FE

~99% of smoke tests are automated

Manual release testing

~95% decrease in post-release regression bugs, the implementation of test automation has proven to be highly effective

Read Story

Test coverage:

90%

Before

After

There was no formal QA process

An efficient and transparent QA process was set up from scratch

There was no test documentation

Well-structured test cases were created to cover the main scenarios

Automation scripts were useless because they didn’t check the required functionality

Following best practices, automation testing utilized independent tests, API-driven data creation, and the Page Object Pattern

Read Story

Released PWAs:

40+

Before

After

There were no QA engineers, and testing was executed by a product owner and developers

All QA/QC activities are performed by a seasoned QA engineer

All testing activities came down to ad-hoc testing and unit testing

Regression testing, pre-release testing, post-release smoke testing, and smoke testing are regularly executed

100% of the release content is tested using different approaches

150+ Postman test cases were created and integrated into the workflow

Read Story

Test coverage:

>80%

Before

After

4 days were needed to run regression testing

~2 hours were needed to run regression testing

Regression tests were executed on one device only

5 various devices with different operating systems, screen resolutions, and browsers were used to run regression testing

There were less than 200 automated tests

>1000 automated tests were developed

1 browser was used

4 browsers were supported

Read Story

Test coverage:

99%

Before

After

There was no formal QA process

Manual story testing and verification was built from scratch

There was a lack of QA resources to test all platforms and product areas

99% of the application was covered with test cases and the smoke and regression checklists

The test documentation was incomplete

A well-structured test plan enabling thorough validation was created

Testing was executed by developers

A fully autonomous QA process was set up where QA engineers were fully responsible for testing

Read Story

Regression testing run:

Before

After

2 weeks were needed to run regression testing

<1 week is needed to run regression testing

Regression testing was performed only on 2 web devices

>6 various devices with the latest OS versions are used to run regression testing

There were no auto-tests

>150 automated tests have been created

>100 bugs have been reported

3 browsers are supported

2x faster task handling

Read Story

Test coverage:

>85%

Before

After

Regression testing was not executed

3 hours were needed to complete regression testing

The product contained a lot of bugs and had a bad UX

>300 functional and non-functional bugs were reported

There were no automated tests

350+ automation scenarios were created

Test coverage was low

>85% of the product was covered with automated tests

There were no test cases

350+ test cases were created from scratch

Read Story

Bugs reported:

>1000

Before

After

The QA process was unstructured and inconsistent

A QA team participates in creating ticket scope for upcoming releases

The previous QA team was not efficient enough

All the required test documentation has been rewritten

The test documentation was incomplete and out of date

>6,000 test cases have been written for a regression test suite for client applications

There were a lot of issues reported by clients

The DeviQA engineers have reduced the number of bugs reported by clients/therapists

Read Story

Test coverage of the API:

100%

Before

After

A bug-tracking system was not used

280+ regression E2EE cases have been created, which let a team reduce the time of regression testing to 1.5 days

There were no regression checklists

~40% of tests have been automated, and this value is growing

There was poor documentation coverage

100% of the core flow is covered with documentation

The tests were not automated

5+ performance suites have been created

Read Story

Test coverage :

90%

Before

After

2.5 weeks to run regression testing

1 day to run regression testing

7 days to run smoke testing

1 day to run smoke testing

Outdated test cases

60% increase in the number of regression tests and relevant test cases

50% test coverage

90% test coverage

Supported localizations were not tested

27 localizations supported by QA engineers

No automation testing

>1500 automated test scenarios created

Read Story

Test coverage :

97%

Before

After

Existing workflow in Jira didn’t allow to understand how many bugs were left unfixed before the release and their priorities

Adjusted the Jira workflow, integrated TestRail with Jira to be able to see statisticls of the issues per release

The lack of test documentation

Developed necessary test artifacts that adhere to industry standards and are easily maintainable

No Automation test coverage

Added multithreading to run tests in parallel on 10 different threads, which reduced the time of the test run in 7 times

Read Story

Releases per day:

Before

After

1 huge release every 1-2 months

4-5 releases per day

1 large team with an unclear scope of work

~15 squads each with a straight and clear working plan

0 test cases

200+ e2e test cases for the whole app

1-2 months to release a new feature

2 weeks max to release a new feature

Convoluted and complex process of urgent bug-fix releases

Clear and fast way to release any fix

Read Story

Test coverage:

90%

Before

After

The architecture of the test suite could not be scaled and was difficult to maintain for a large number of tests

Designed the architecture of the test framework from scratch

Tests couldn’t be integrated with other testing and DevOps tools

Integrated auto tests with Jenkins, TestRail, and Jira to have a complete test ecosystem up and running

Tests took many hours to be completed

Built a test suite that ran auto-tests using 16 threads on multiple machines

Read Story

Test coverage:

80%

Before

After

Test suite was developed without maintenance and scalability support in mind

We conducted a comprehensive review of the existing test suite, identified areas of improvement and implemented best testing practices

The high number of issues or defects that were present in the software

The number of issues reduced to 25 % after automation was properly implemented

Slow test results and the lack of stable automated tests, leading to hindered deployment capabilities

SoftNAS experienced several benefits, including faster test results and the acquisition of stable automated tests, resulting in improved deployment capabilities

Read Story

Supported platforms:

Before

After

Developers were responsible for testing, and they executed it chaotically

>90% of the application was covered with test cases

Many bugs were overlooked during regular test runs

100% coverage was ensured for smoke and sanity testing

There was a lack of test documentation

>300 blocker issues were detected

There were many major and critical issues in a production environment

The number of customer support issues was reduced by more than 50%

Read Story

Parallel threads:

Before

After

Outdated BE autotests

All existing autotests are up-to-date

Only smoke tests were automated on BE

~2800 autotests added

No autotests on FE

>90% of test cases are automated

Manual smoke testing on FE

~99% of smoke tests are automated

Manual release testing

~95% decrease in post-release regression bugs, the implementation of test automation has proven to be highly effective

Read Story

Test coverage:

90%

Before

After

There was no formal QA process

An efficient and transparent QA process was set up from scratch

There was no test documentation

Well-structured test cases were created to cover the main scenarios

Automation scripts were useless because they didn’t check the required functionality

Following best practices, automation testing utilized independent tests, API-driven data creation, and the Page Object Pattern

Read Story

Released PWAs:

40+

Before

After

There were no QA engineers, and testing was executed by a product owner and developers

All QA/QC activities are performed by a seasoned QA engineer

All testing activities came down to ad-hoc testing and unit testing

Regression testing, pre-release testing, post-release smoke testing, and smoke testing are regularly executed

100% of the release content is tested using different approaches

150+ Postman test cases were created and integrated into the workflow

Read Story

Test coverage:

>80%

Before

After

4 days were needed to run regression testing

~2 hours were needed to run regression testing

Regression tests were executed on one device only

5 various devices with different operating systems, screen resolutions, and browsers were used to run regression testing

There were less than 200 automated tests

>1000 automated tests were developed

1 browser was used

4 browsers were supported

Read Story

Test coverage:

99%

Before

After

There was no formal QA process

Manual story testing and verification was built from scratch

There was a lack of QA resources to test all platforms and product areas

99% of the application was covered with test cases and the smoke and regression checklists

The test documentation was incomplete

A well-structured test plan enabling thorough validation was created

Testing was executed by developers

A fully autonomous QA process was set up where QA engineers were fully responsible for testing

Read Story

Regression testing run:

Before

After

2 weeks were needed to run regression testing

<1 week is needed to run regression testing

Regression testing was performed only on 2 web devices

>6 various devices with the latest OS versions are used to run regression testing

There were no auto-tests

>150 automated tests have been created

>100 bugs have been reported

3 browsers are supported

2x faster task handling

Read Story

Test coverage:

>85%

Before

After

Regression testing was not executed

3 hours were needed to complete regression testing

The product contained a lot of bugs and had a bad UX

>300 functional and non-functional bugs were reported

There were no automated tests

350+ automation scenarios were created

Test coverage was low

>85% of the product was covered with automated tests

There were no test cases

350+ test cases were created from scratch

Read Story

Bugs reported:

>1000

Before

After

The QA process was unstructured and inconsistent

A QA team participates in creating ticket scope for upcoming releases

The previous QA team was not efficient enough

All the required test documentation has been rewritten

The test documentation was incomplete and out of date

>6,000 test cases have been written for a regression test suite for client applications

There were a lot of issues reported by clients

The DeviQA engineers have reduced the number of bugs reported by clients/therapists

Read Story

Test coverage of the API:

100%

Before

After

A bug-tracking system was not used

280+ regression E2EE cases have been created, which let a team reduce the time of regression testing to 1.5 days

There were no regression checklists

~40% of tests have been automated, and this value is growing

There was poor documentation coverage

100% of the core flow is covered with documentation

The tests were not automated

5+ performance suites have been created

Read Story

Choose Your Cooperation Model

We provide a selection of three flexible and user-friendly cooperation models. Share your business objectives and project requirements, and we'll help you make the right choice.

Project-Based BFSI Testing Outsourcing

Increase your in-house capabilities by seamlessly integrating our skilled testing professionals into your team.

Best Option For:Teams needing specialized skills to perform short-term tasks.
Pay for the specific services you need, avoiding unnecessary overhead costs.
Leverage our streamlined processes for rapid project completion.
Tap into the extensive experience of our testing professionals for excellent project outcomes.

Go for project-based testing

Team Augmentation with BFSI Testing experts

Outsource specific testing projects, allowing your organization to benefit from our specialized BFSI testing services without committing to a long-term engagement.

Best Option For: Organizations seeking a flexible, cost-effective solution for specific testing needs.
Quickly ramp up or down your QA team based on project requirements.
Shake your team up and encourage knowledge sharing among eternal and augmented staff.
Access top-tier talent without long-term obligations.

Go for team augmentation testing

BFSI Testing Consulting

Our seasoned consultants work closely with your team to study your needs and plan and implement automated testing strategies.

Best Option For: Organizations looking to refine their testing strategies, streamline processes, and implement best practices.
Gain a comprehensive understanding of your testing needs and align them with your organizational goals.
Identify and address potential challenges early in the testing lifecycle.
Implement industry best practices to enhance your testing processes over time.

Go for consulting

What you get

Average time saved by implementing our multithreaded test automation

300%

Reduction in your costs by using outsourced software testing

60%

Improvement in time to market for your products and projects

35%

Accelerate development by

30%

Increase test coverage to

95%

Enhancing project quality by

60%

Feel the improvement in

3 days

Reduce bugs up to

87%

Automation faster in parallel by

56x

We serve

Our expertise and resources allow us to cover the unique needs of each project, ensuring the delivery of high-quality software that meets your requirements and business goals.

Industries

Healthcare

FinTech

Real Estate

Cybersecurity

Retail

AdTech

Solutions

Banking Apps

SaaS Solutions

ERP Software

CRM Systems

eCommerce

Technologies

Blockchain

Cloud Computing

Internet of Things

Big Data

Deliver Globally

DeviQA serves a diverse array of businesses, such as startups, scale-ups, and global enterprises, hailing from various regions worldwide. Our clients are located across the United States, the European Union, the UK, Canada, the Middle East, and Australia.

Regardless of where you are located, we are well-equipped to assist you in achieving your QA objectives, regardless of their scale or distinctiveness.

Elevate your software quality with our cutting-edge QA solutions.

Don’t let software bugs and performance issues jeopardize your reputation. Surpass your competitors with our specialized data-driven QA solutions that ensure detection and rectification of up to 95% of potential issues. Enter your business email below for a free Proof of Concept to start enhancing your software reliability today.

Here’s what people are saying about DeviQA

Testing for Diabetes Care Firm

Improving testing process efficiency and remaining mindful of the client’s requirements for the project, DeviQA has been an impressive partner. The firm’s project managers have kept the engagement moving smoothly and have made sure the team is available despite working in a different time zone.

Dale Vosburgh

Director, Diabetes Care Firm

Read Full Review

Application Testing for Audio Editing Platform

The engagement met the expectations of the internal team, resulting in an easy to maintain testing framework. DeviQA establishes a smooth workflow through consistent communication. The team leverages their technical expertise and experience to produce quality results.

Ulf Schwekendiek

Lead Engineer, Descript

Read Full Review

SaaS System Testing for FinTech Startup

Through DeviQA’s involvement, the high-quality product has performed reliably and attracted positive customer feedback. The team’s commitment to excellence, consistent availability, and reasonable price point continue to drive success.

Raanan Tauber

QA Manager, Tipalti

Read Full Review

Automated Testing for Sales Learning Platform

Having DeviQA on board has resulted in finding more defects before deploying features to customers, boosting the end product’s overall quality. Their team is not only supportive but also easy to scale as needed. Efficient communication and punctuality are some highlights of their work.

Brad DerManouelian

Senior QA Manager, Sales Learning Platform

Read Full Review

Enhanced Testing Environment for BI and Big Data Solutions Firm

DeviQA developed over 300 test cases in a month and a half, which led to a 70% coverage of the business’ solution and a 45% decrease in its defect rate. Furthermore, the team’s timely services allowed them to implement swinging tests alongside the addition of new pieces of functionality.

Brian Huddleston

Former VP of Development

Read Full Review

QA, Automation, DevOps & TechOps Support for QC & QA Co

DeviQA has demonstrated to be a highly skilled consultant, as they’ve achieved 95% of the client’s quarterly objectives, as well as sprint goals every two weeks. DeviQA’s consultants are very collaborative and open to feedback. Moreover, their communication and availability are impressive.

Alex Ohoussou

Head of QA & TechOPs, QIMA

Read Full Review

QA Testing for Secure Solutions Company

Their independent and accountable team is a significant upgrade compared to experiences with other vendors. DeviQA excels at being punctual, solving problems, communicating effectively, and delivering on their promises. They’re a trustworthy partner that requires minimal supervision.

Janosch Greber

QA Manager, Secure Mobile Solutions Company

Read Full Review

QA tools & platforms we hold expertise in

Automation Testing

Cucumber

Selenium

Appium

Mocha

Playwright

Robot Framework

Specflow

TestNG

WebdriverIO

Selenide

Calabash

Watir

Codeception

Cypress

Security Testing Tools

HCL AppScan

Nessus

NMAP

BurpSuite

Acunetix

OWASP ZAP

Metasploit

Wireshark

DBeaver

Rdp-Sec-Check

SNMPCHECK

AiR

SSLSCAN

Performance Testing Tools

JMeter

Load Runner

Visual Studio

API Testing

Rest API

GraphQL

Apiary

Bluetooth Low Energy API

Apple Pay

Google Pay

Apple Maps

Fingerprint API

API Testing Tools

Postman

Swagger

Charles Proxy

Ready API

ACCELQ

Katalon Platform

REST-Assured

Database Testing

SQL Server

MySQL

Oracle

PostgreSQL

Cassandra

MongoDB

RethinkDB

Amazon S3

Redshift

DynamoDB

Amazon RDS

DocumentDB

Amplify

Lambda

Amazon EC2

Elasticache

Azure Datalake

Blob Storage

CosmosDB

SQL Database

Synapse Analytics

Google Cloud SQL

Google Cloud Datastore

Certifications

ISO 9001:2015

At DeviQA, we take pride in being an ISO 9001:2015 certified company. This certification represents our unwavering commitment to maintaining the highest standards of quality in every aspect of our software testing services. With a focus on customer satisfaction, we adhere to internationally recognized quality management practices to ensure that our clients receive exceptional and reliable testing solutions. Through continuous improvement and compliance with regulatory requirements, we consistently deliver top-notch testing services that exceed our clients' expectations

ISO 20000

We understand the crucial role of IT services in modern businesses. As an ISO 20000 certified company, we excel in delivering efficient and effective IT services to our clients. Our customer-centric approach enables us to tailor our testing solutions to suit your unique requirements, ensuring a seamless integration of testing processes into your software development lifecycle. With a focus on continual service improvement, we optimize our IT Service Management practices to guarantee a smooth and satisfying experience for our valued clients

ISO 27001

The security of our clients' data is of paramount importance to us. As an ISO 27001 certified company, we go above and beyond to protect sensitive information and ensure the confidentiality and integrity of all data entrusted to us. With our robust Information Security Management System (ISMS), we implement stringent security controls, evaluate risks, and take proactive measures to safeguard against potential threats. Rest assured that partnering with us means your valuable data is handled with the utmost care and subject to the highest security standards

ISTQB

As a testament to our team's expertise and commitment to excellence, our software testing professionals hold the esteemed ISTQB (International Software Testing Qualifications Board) certifications. The ISTQB certification is a globally recognized standard for software testing professionals, signifying their proficiency in the latest testing methodologies, best practices, and industry standards. With ISTQB-certified experts on board, we bring a wealth of knowledge and skills to every testing project, ensuring thorough and precise testing to uncover even the most intricate software defects. Partner with us and benefit from our skilled ISTQB-certified professionals who are dedicated to elevating the quality and reliability of your software products

Awards and recognitions

Leading Testing Provider by SoftwareTestingNews in 2021

Top Software Testing and QA Company by Superbcompanies in 2023

Finalist of the European Testing Awards in 2019

Finalist of the Software Testing & QA Awards in 2019

Collaboration process overview

1. Initial contact

During our initial call, we aim to understand your testing requirements and goals

2. Assessment

We evaluate your current testing process and create a tailored plan to enhance it

3. Proof of Concept

We offer a complimentary Proof of Concept, allowing you to experience our proficiency and expertise

4. Trial and evaluation of performance

We start a trial period with you, and once complete, we review the results together and discuss options

5. Contract signing and full-scale QA implementation

Upon mutual agreement, we move forward with the QA process by signing a contract and beginning work

6. Partnership with flexibility

Our engagement options give you commercial flexibility to dial up and dial down resources depending on your own needs

Let’s schedule a call

Flexible collaboration options allow you to choose the level of support that best meets your needs

Frequently Asked Questions

faq

FAQ

What are Automated Testing Services for BFSI?

Automated Testing Services for BFSI refer to the use of automated tools and processes to test software applications and systems within the Banking, Financial Services, and Insurance sector. It ensures that critical software functions operate efficiently and securely.

Why is Automation Testing crucial for BFSI?

Automation Testing streamlines the testing of BFSI solutions, enhances accuracy, and accelerates time-to-market. It helps identify and rectify software issues early in the development lifecycle, reducing the risk of system failures and improving overall quality.

What types of testing are covered by Automation Testing Services for BFSI?

Our Automation Testing Services cover a wide range of testing types, including functional testing, regression testing, performance testing, security testing, and compliance testing, tailored specifically for the unique requirements of the BFSI sector.

How does Automation Testing improve the security of BFSI applications?

Automation Testing identifies and addresses security vulnerabilities in BFSI applications through robust security testing protocols. It ensures that customer data, financial transactions, and sensitive information are protected against potential threats.

What are the key benefits of choosing Automation Testing for BFSI?

Accelerated testing processes and shorter time-to-market.
Fewer human errors and more accurate test results.
Optimization of testing costs in the long run.
Ability to accommodate the growing testing needs of BFSI applications.

Is Automation Testing suitable for both small and large BFSI projects?

Automation Testing is beneficial for large-scale and long-term BFSI projects.

How can Automation Testing ensure compliance of BFSI apps with applicable regulations?

Automation Testing ensures that BFSI applications comply with industry regulations and standards. It validates that the software meets legal requirements, ensuring data protection and the security and integrity of financial transactions.

Can Automation Testing be used for existing BFSI applications?

Yes, Automation Testing Services can be used for existing BFSI applications. We provide comprehensive solutions for both legacy systems and newly developed applications.